MCQs on Setting Up Azure Data Factory | Azure Data Factory MCQs Question

Azure Data Factory (ADF) is a powerful cloud-based data integration service designed to automate data movement and transformation. This chapter explores creating and configuring an Azure Data Factory instance, understanding ADF Studio, implementing Role-Based Access Control (RBAC), and setting up Integration Runtime (IR) types. Additionally, it covers linking Azure resources to ADF pipelines. These Azure Data Factory MCQs questions provide an excellent way to assess your understanding and prepare for exams or practical use cases in data engineering.

Multiple-Choice Questions (MCQs)

Creating and Configuring an Azure Data Factory Instance

1. What is the primary use of Azure Data Factory?
   a) Data storage
   b) Data integration and transformation
   c) Hosting applications
   d) Running virtual machines
2. When creating a new Azure Data Factory, which resource group option should you choose?
   a) Use an existing resource group
   b) Create a new resource group
   c) Both a and b are correct
   d) None of the above
3. What is the first step when setting up a new Azure Data Factory?
   a) Configuring a linked service
   b) Selecting a region
   c) Naming the Data Factory
   d) Setting up an integration runtime
4. Which Azure Data Factory component is responsible for data movement?
   a) Pipelines
   b) Activities
   c) Integration runtime
   d) Datasets
5. What is the maximum number of Azure Data Factories allowed per region per subscription?
   a) 1
   b) 5
   c) 10
   d) Unlimited

ADF Studio Overview and Navigation

6. What is the purpose of the ADF Studio?
   a) To manage Azure resources
   b) To design and monitor data pipelines
   c) To configure network settings
   d) To analyze large datasets
7. Which section of ADF Studio is used to create and manage pipelines?
   a) Author
   b) Monitor
   c) Manage
   d) Overview
8. Where can you view the status of a pipeline execution in ADF Studio?
   a) Manage tab
   b) Overview tab
   c) Monitor tab
   d) Data Flows tab
9. What is a pipeline in Azure Data Factory?
   a) A sequence of activities to perform data operations
   b) A method for connecting Azure resources
   c) A monitoring tool for logs
   d) A script for automating API calls
10. Which ADF Studio tab allows configuring global settings?
    a) Author
    b) Monitor
    c) Manage
    d) Debug

Role-Based Access Control (RBAC) for ADF

11. What is RBAC used for in Azure Data Factory?
    a) Encrypting data
    b) Controlling user permissions
    c) Monitoring data flow
    d) Automating pipelines
12. Which built-in role grants full access to an Azure Data Factory?
    a) Data Factory Contributor
    b) Owner
    c) Data Factory Operator
    d) Reader
13. How can you assign RBAC roles to users in Azure Data Factory?
    a) Through the Azure portal
    b) Using PowerShell
    c) By using Azure CLI
    d) All of the above
14. What is the main advantage of using RBAC?
    a) Improved security through role-specific access
    b) Automated pipeline execution
    c) Enhanced data transformation capabilities
    d) Integrated data monitoring
15. Can custom roles be created for Azure Data Factory access control?
    a) Yes
    b) No
    c) Only for specific services
    d) Only for linked services

Setting Up Integration Runtime (IR) Types

16. What is the purpose of Integration Runtime (IR) in ADF?
    a) To store data securely
    b) To execute data movement and transformation activities
    c) To manage RBAC roles
    d) To monitor pipeline execution
17. Which type of IR is used for cloud-based data movement?
    a) Azure IR
    b) Self-hosted IR
    c) Private IR
    d) Hybrid IR
18. How is a self-hosted IR typically used?
    a) For on-premises data integration
    b) For managing Azure resources
    c) For monitoring cloud resources
    d) For automating API calls
19. What is the main advantage of using Azure IR?
    a) Improved network security
    b) High scalability for cloud-based activities
    c) Enhanced user access control
    d) Reduced storage costs
20. Which feature allows IR to integrate securely with virtual networks?
    a) Private endpoints
    b) Network Security Groups
    c) Service principals
    d) Public IP restrictions

Linking Azure Resources to ADF

21. What is a linked service in Azure Data Factory?
    a) A connection to an external data source or service
    b) A dataset for data processing
    c) A monitoring tool for pipelines
    d) A storage service for logs
22. Which resource must be linked to ADF for accessing Azure Blob Storage?
    a) Data Lake Store
    b) Storage Account
    c) Cosmos DB
    d) SQL Database
23. How can you link an Azure SQL Database to ADF?
    a) By creating a pipeline
    b) By configuring a linked service
    c) By setting up a dataset
    d) By using an integration runtime
24. What is the purpose of a dataset in Azure Data Factory?
    a) To define the structure and location of data
    b) To monitor data flow activities
    c) To configure RBAC roles
    d) To create linked services
25. Can multiple Azure resources be linked to a single ADF instance?
    a) Yes
    b) No
    c) Only for specific regions
    d) Only with premium subscriptions

Additional Questions

26. What authentication method is commonly used for linking Azure resources to ADF?
    a) Managed identities
    b) Shared keys
    c) Service principal credentials
    d) All of the above
27. What happens if an incorrect linked service configuration is used in ADF?
    a) The pipeline fails to execute
    b) The linked service is deleted automatically
    c) Data transformation is skipped
    d) Logs are disabled
28. What type of linked service is required for an on-premises SQL Server?
    a) Azure IR
    b) Self-hosted IR
    c) Private IR
    d) Hybrid IR
29. How can you monitor linked service activity in ADF?
    a) Using the Monitor tab in ADF Studio
    b) By exporting logs to Azure Log Analytics
    c) By enabling diagnostic settings
    d) All of the above
30. Which Azure service is commonly linked with ADF for analytics?
    a) Azure Synapse Analytics
    b) Azure Kubernetes Service
    c) Azure Virtual Machines
    d) Azure DevOps

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